Aural and written language elicit the same processes: Further evidence from the missing-phoneme effect.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
When readers are asked to detect a target letter while reading for comprehension, they miss it more frequently when it is embedded in a frequent function word than in a less frequent content word. This missing-letter effect has been used to investigate the cognitive processes involved in reading. A similar effect, called the missing-phoneme effect has been found in aural language when participants listen to the narration of a text while searching for a target phoneme. In three experiments, we tested the hypothesis that both effects derived from the same cognitive processes, by isolating the role of word frequency and word function. In Experiment 1, we used a paper and pencil procedure for reading and a continuous narration for the listening task. In Experiments 2 and 3, we used a rapid serial visual or auditory presentation procedure to control for the effects of preprocessing upcoming information: parafoveal processing in reading and coarticulation in aural language processing. Parallel findings were observed in the reading and listening tasks. In all experiments, there was an effect of word function, and there was an effect of word frequency in Experiments 1 and 3. Results are interpreted in light of the attentional disengagement model. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it